# Manager, Production Network Performance, Amazon Leo at Amazon

Amazon is hiring a Manager, Production Network Performance, Amazon Leo. It pays $175k-$237k a year and Level rates it Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/851b4b58-a915-4307-9321-a5d2e3dc8ecb?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. US, WA, Redmond.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 65 out of 100)
- Location: US, WA, Redmond
- Salary: $175k-$237k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/851b4b58-a915-4307-9321-a5d2e3dc8ecb?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=manager-production-network-performance-amazon-leo-at-amazon-4b8ffc

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/manager-production-network-performance-amazon-leo-at-amazon-4b8ffc

## Description

We are looking for a manager to build and lead a team that monitors Amazon Leo's live satellite network against what our simulations predict, and uses what it finds to improve the performance our customers receive. Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. The team develops an automated pipeline that compares real-time system and network data with simulation predictions, finds where performance falls short, and drives each problem to resolution with the many teams involved. A problem can sit anywhere in the system: satellites and their optical inter-satellite links, gateways, user terminals, the satellite telemetry, tracking and command (TT&C) link, and the software that connects them. This is a critical, new role. You will hire and build an interdisciplinary team that covers radio frequency (RF) and link performance, software and data pipelines, artificial intelligence and machine learning (AI/ML) automation, networking, systems integration and test, and production operations and troubleshooting, and that works closely with the modeling and simulation, hardware, software and operations teams across Amazon Leo. Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident that is a current Green Card holder, or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities The team starts small. Surrounding teams will support this work while you hire and build the team that owns it. Team leadership • Hire and grow a team that covers each discipline the work needs: RF and link performance, software and data pipelines, AI/ML automation, networking, systems integration and test, and production operations and troubleshooting • Prioritize the team's work with engineering and operations partners, so that effort goes where it most improves the customer experience • Partner with the simulation, test, satellite, gateway, terminal and software teams on the data and evidence the analysis needs Performance prediction and detection framework • Integrate simulations and models developed by other teams into a comprehensive framework that predicts network performance and detects where live performance falls short • Own the team's automated pipeline that brings live system and network data, simulation predictions and test measurements together • Co-develop each tool's automation interface with the team that develops and calibrates it • Set tolerances that reflect what each prediction means, and recognize when the model, not the network, is wrong Rapid detection of changes that affect customers • Employ AI, machine learning and automation tools to rapidly detect changes that affect users, so the team catches problems early and protects the customer experience • Detect changes against the network's own history with statistical change-detection methods • Require independent evidence before an automated finding is treated as confirmed End-to-end troubleshooting and resolution • Drive performance problems to their root causes across RF, software, hardware and networking, wherever they sit in the end-to-end system • Compare affected and unaffected terminals, satellites and gateways, and confirm causes with independent measurement or reproduction • Hand each cause, with its evidence, to the team that owns the fix, and confirm after the fix that customers see the improvement Customer impact and reporting • Show how each finding affects the end-to-end customer experience • Report findings, open questions and progress to leadership on a regular cadence About the team We are a new team inside Amazon Leo’s communication systems organization. We turn live network data into clear answers about the performance customers receive, and then work with subject matter experts to improve

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Source: https://jobsbylevel.com/jobs/manager-production-network-performance-amazon-leo-at-amazon-4b8ffc

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